Although zooplankton was extensively studied in the North Sea, knowledge about winter zooplankton assemblages is still scarce, despite potential influence of zooplankton overwintering stocks on seasonal plankton succession and productivity. Furthermore, several economically and ecologically important fish species reproduce during winter contributing to the zooplankton community as passive members (eggs) or predators (larvae). To shed some light on winter zooplankton distribution, abundance and composition in the Southern North Sea and Eastern English Channel, we defined assemblages based on mesozoo- and ichthyoplankton data sampled between January and February 2008 using fuzzy-clustering and indicator species. Mesozoo- and ichthyoplankton (eggs+larvae) were integrated in a common analysis by using a spatial grid adapted to the datasets and defined by means of a geostatistical method developed in agronomics. Potential environmental drivers of assemblage distribution were evaluated by means of GLMM and comparison with data from 2022 facilitated insight about the inter-annual representativeness of the assemblages. Five zooplankton assemblages were found varying with regard to total zooplankton abundance, dominant and indicator taxa. Spatial variability of abiotic (dissolved nutrients, salinity, depth, temperature, organic matter in suspension, chlorophyll a), biotic variables (phyto- and microplankton composition), water masses and fish spawning grounds were revealed as potential drivers of assemblage distribution. Assemblages off the Rhine-Scheldt estuary and in the German Bight harbored the biggest zooplankton overwintering stocks that might influence the grazing pressure on phytoplankton spring production. Assemblages off the Rhine-Scheldt estuary and covering the English Channel and the Southern Bight were found to be of high importance for herring and plaice larvae. Although further analyses suggested inter-annual representativeness of the assemblages found (2008 vs 2022), the assessment of further years would be necessary to account for potential inter-annual variability. Future studies could profit from the assessment of microzooplankton facilitating insight in fish larvae feeding potential and zooplankton overwintering strategies. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The Green Edge project was designed to investigate the onset, life and fate of a phytoplankton spring bloom (PSB) in the Arctic Ocean. The lengthening of the ice-free period and the warming of seawater, amongst other factors, have induced major changes in arctic ocean biology over the last decades. Because the PSB is at the base of the Arctic Ocean food chain, it is crucial to understand how changes in the arctic environment will affect it. Green Edge was a large multidisciplinary collaborative project bringing researchers and technicians from 28 different institutions in seven countries, together aiming at understanding these changes and their impacts on the future. The fieldwork for the Green Edge project took place over two years (2015 and 2016) and was carried out from both an ice camp and a research vessel in the Baffin Bay, Canadian arctic. Here, we describe the data set obtained during the research cruise, which took place aboard the Canadian Coast Guard Ship (CCGS) Amundsen in spring 2016. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 11 around South Georgia and the Maurice Ewing Bank in the Southern Ocean. The data were collected between 01 January and 27 February 1996 as part of an integrated ecosystem analysis. They form part of a more extensive dataset collected over 30 years, between 1980 and 2009, by the British Antarctic Survey.

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 06 mainly around South Georgia, South Orkneys and the Maurice Ewing Bank in the Southern Ocean. The data were collected between 01 January and 03 March 1994 as part of an integrated ecosystem analysis. They form part of a more extensive dataset collected over 30 years, between 1980 and 2009, by the British Antarctic Survey.

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 02 in the Bellinghausen Sea in the Southern Ocean. The data were collected between 26 November and 18 December 1992 as part of an integrated ecosystem analysis. They form part of a more extensive dataset collected over 30 years, between 1980 and 2009, by the British Antarctic Survey.

These data were collected during the period of 27/11/2020 and 18/11/2022 from the Heraklion Coastal Buoy station North of Crete. The dataset is comprised of samples collected and analysed under specific dates from this station while being part of the European project: "JERICO S3 (Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability)".

Repeat hydrography, as organized through the GO-SHIP network, is fundamental for detecting trends and variability also in the Mediterranean Sea. The Mediterranean component of GO-SHIP is MedSHIP, and TAlPro is the western Mediterranean component. The TAlPro2022 cruise consisted of 26 full depth hydrographic stations crossing the Tyrrhenian Sea from north to south, then the Algero-Provencal Basin from south to north. Here the postcalibrated bottle file data are made availiable. Postcalibration has been done by measuring dissolved oxygen and salinity on water samples collected by the rosette. The dataset contains also all chemical variables, measured in the lab.

Mean Integrated concentrations of oceanographic parameters in the water column and sediment data in the coastal zone of the Red Sea and the Arabian Gulf (Saudi Arabia) Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

Basic biogeochemical parameters obtained from the GLICE cruise in Disko Bay (August 2022), either analyzed at sea or preserved and returned to GEOMAR for analysis.

Samples were collected during the “Acoustics along the BRAzilian COaSt (ABRACOS)” oceanographic campaigns, carried out in Austral spring (30 August - 20 September of 2015 - ABRAÇOS1; Bertrand, 2015) and fall (9 April - 9 May of 2017 - ABRAÇOS 2; Bertrand, 2017) on board the French R/V ANTEA. Spring 2015 and fall 2017 are representative of canonical spring and fall conditions in terms of thermohaline structure and currents dynamics (Assunção et al., 2020; Dossa et al., 2021).  Nutrients (nitrite NO2, nitrate NO3, phosphate PO4 and silicate Si(OH)4) have been determined on seawater samples collected using Niskin bottles at different depths during the cruise. Up to 12 samples were collected at each station, depending on the station depth. Samples were collected and "pasteurised" (ie heated at 80C for 2h30 in an oven) to ensure their stability until the analysis was performed at the laboratory. The nutrients analysis has been achieved using the classical colorimetric method (Technicon analyzer). Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.